SOTAVerified

Electroencephalogram (EEG)

Electroencephalogram (EEG) is a method of recording brain activity using electrophysiological indexes. When the brain is active, a large number of postsynaptic potentials generated synchronously by neurons are formed after summation. It records the changes of electric waves during brain activity and is the overall reflection of the electrophysiological activities of brain nerve cells on the surface of cerebral cortex or scalp. Brain waves originate from the postsynaptic potential of the apical dendrites of pyramidal cells. The formation of synchronous rhythm of EEG is also related to the activity of nonspecific projection system of cortex and thalamus. EEG is the basic theoretical research of brain science. EEG monitoring is widely used in its clinical application.

Papers

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Showing 276–300 of 1655 papers

TitleStatusHype
Deep Learning for scalp High Frequency Oscillations Identification—0
Brain Model State Space Reconstruction Using an LSTM Neural Network—0
Source-free Subject Adaptation for EEG-based Visual RecognitionCode2
Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition—0
Extracting continuous sleep depth from EEG data without machine learning—0
Explainable Data Poison Attacks on Human Emotion Evaluation Systems based on EEG SignalsCode0
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions—0
Hearables: Ear EEG Based Driver Fatigue Detection—0
Causal Recurrent Variational Autoencoder for Medical Time Series GenerationCode1
Interpretable and Scalable Graphical Models for Complex Spatio-temporal Processes—0
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification—0
Short-length SSVEP data extension by a novel generative adversarial networks based frameworkCode0
BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation—0
CLASH: Contrastive learning through alignment shifting to extract stimulus information from EEG—0
L-SeqSleepNet: Whole-cycle Long Sequence Modelling for Automatic Sleep StagingCode1
Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction—0
Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEGCode1
Detecting Information Relays in Deep Neural Networks—0
Understanding EEG signals for subject-wise Definition of Armoni Activities—0
Towards Voice Reconstruction from EEG during Imagined SpeechCode1
Neural criticality from effective latent variables—0
RaspberryPi to measure EEG, ECG, EMG and EOG with Shield PiEEG—0
MindBigData 2022 A Large Dataset of Brain Signals—0
Cortical Xi-Alpha model for resting state electric neuronal activity—0
AMDET: Attention based Multiple Dimensions EEG Transformer for Emotion Recognition—0
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All datasetsSEED-IVHS-SSVEPSEED

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BiHDMAccuracy74.35—Unverified
2DGCNNAccuracy69.88—Unverified
3DBNAccuracy66.77—Unverified
#ModelMetricClaimedVerifiedStatus
1MultitaskSSVEPAccuracy (5-fold)92.2—Unverified
#ModelMetricClaimedVerifiedStatus
1DBNAccuracy86.08—Unverified